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Data archives provide rich and expansive sources of information for researchers. Part of the SAGE Qualitative Research Kit, this book highlights the utility of secondary data analyses whilst showing you how to select the right datasets for your study, and in turn get the most out of your research.

Part of The SAGE Quantitative Research Kit, this book is an ideal companion for those looking to undertake survey research. Anchored by lots of case studies of real research and expert interviews to strengthen your understanding, it provides guidance on the range of skills needed for watertight survey research and sampling.

This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the authors provide everything needed to explore, evaluate and review big data concepts and techniques.

Using concise and direct language, Betsy McCoach¿s book imparts a wide range of modeling techniques for use with quantitative data, including: From 2-level multilevel models to longitudinal modeling using multilevel and stuctural equation modeling (SEM) techniques. Part of The SAGE Quantitative Research Kit, this book offers the know-how and confidence needed to succeed on your quantitative research journey.

Part of The SAGE Quantitative Research Kit, this concise text breaks down the complex topic of inferential statistics with accessible language and detailed examples. Covering a range of topics, it provides you with the know-how and confidence needed for a successful quantitative research journey.

In this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. The author covers both the theory and application of statistical models, with the help of illuminating graphs. >

Nervous about statistics? This guide offers a clear, straight to the point break down of exploratory and descriptive statistics and its potential. Anchored by lots of examples and exercises to enhance your learning, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

A practical, up-to-date, step-by-step guidance on causal analysis; which features worked example datasets throughout to see methods in action. McBee clearly demonstrates techniques such as Rubin causal model, direct acyclic graphs and propensity score analysis.

The fourth book in The SAGE Quantitative Research Kit, this resource covers the basics of designing and conducting basic experiments, outlining the various types of experimental designs available to researchers, while providing step-by-step guidance on how to conduct your own experiment. Practical and succintly written, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

This concise text from The SAGE Quantitative Research Kit provides a clear and digestible introduction to completing quantitative research. Taking you step-by-step through the process of completing your quantitative research project, it offers guidance on formulating a research question, completing a literature review, designing your research around your data source, and choosing appropriate methodology.

In this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin provides practical guidance on conducting regression analysis on categorical and count data. The author covers both the theory and application of statistical models, with the help of illuminating graphs.